Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering

A Fiber-Optic Icing Sensor with Multi-Light Paths

Authors
Kan Lu, Feng Chen
Corresponding Author
Kan Lu
Available Online April 2016.
DOI
10.2991/icemie-16.2016.16How to use a DOI?
Keywords
multi-light paths; support vector machine regression; fiber-optic icing sensor
Abstract

Fiber-optic icing sensor is a kind of light-intensity-modulation sensor. It can indirectly measure the ice thickness based on light intensity. To increase measuring scope of the reflective fiber-optic icing sensor, a fiber-optic icing sensor with multi-light paths is presented. , a set of fiber array is introduced to measure the transmission intensity of the light for the reflective fiber-optic icing sensor. The Support Vector Machine Regression Algorithm is utilized to fuse the transmission intensity and reflected intensity for estimate the ice thickness. The experimental results show that this proposed method can improve the measurement accuracy and range of the fiber-optic icing sensor .The anti-interference capability of the fiber-optic icing sensor is enhanced simultaneously.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/icemie-16.2016.16
ISSN
2352-5401
DOI
10.2991/icemie-16.2016.16How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Kan Lu
AU  - Feng Chen
PY  - 2016/04
DA  - 2016/04
TI  - A Fiber-Optic Icing Sensor with Multi-Light Paths
BT  - Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering
PB  - Atlantis Press
SP  - 63
EP  - 66
SN  - 2352-5401
UR  - https://doi.org/10.2991/icemie-16.2016.16
DO  - 10.2991/icemie-16.2016.16
ID  - Lu2016/04
ER  -